This article analyzes the financial efficiency of implementing artificial intelligence (AI) in healthcare, examining key evaluation models such as ROI, CBA, and HTA, as well as examples of successful technology adoption. The primary risks and barriers associated with AI usage in medical institutions are discussed, along with strategies for minimizing these challenges. The study highlights potential areas for advancing efficiency assessment methods tailored to the specific needs of healthcare and outlines directions for future research.
| Mualliflar | Sultanov, Ruslan, Султанов, Руслан, Sultanov, Ruslan |
|---|---|
| Jurnal | Рақамли иқтисодиёт |
| Nashr sanasi | 2025-07-29 |
| Jild | 9 |
| Son | 9 |
| Betlar | 41-49 |
| Til | Rus |
искусственный интеллект, здравоохранение, финансовая эффективность, модели оценки, ROI, HTA, экономическая выгода, риски, перспективы, CBA., artificial intelligence, healthcare, financial efficiency, evaluation models, ROI, HTA, economic benefit, risks, prospects, CBA., сунъий интеллект, соғлиқни сақлаш, молиявий самарадорлик, баҳолаш моделлари, ROI, HTA, иқтисодий фойда, хавф-хатарлар, истиқболлар, CBA.
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